Hybrid dendritic computing with kernel-LICA applied to Alzheimer's disease detection in MRI

Neurocomputing

Volumn 75, Issue 1, 2012, Pages 72-77

  Chyzhyk, Darya ^a   Graña, Manuel ^a   Savio, Alexandre ^a   Maiora, Josu ^a  

^a Paseo Mauel Lardizabal 1   (Spain)

Author keywords

Alzheimer's disease; Dendritic computing; Kernel method; Lattice computing; Lattice Independent Component Analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); DISEASE CONTROL; INDEPENDENT COMPONENT ANALYSIS; MAGNETIC LEVITATION VEHICLES; MAGNETIC RESONANCE IMAGING; METADATA;

ALZHEIMER'S DISEASE; CLASSIFICATION PERFORMANCE; DENDRITIC COMPUTING; K FOLD CROSS VALIDATIONS; KERNEL METHODS; LATTICE COMPUTING; MAGNETIC RESONANCE IMAGING (MRI); PERFORMANCE DEGRADATION;

NEURODEGENERATIVE DISEASES;

ALZHEIMER DISEASE; ARTICLE; CLASSIFICATION ALGORITHM; DECISION MAKING; DENDRITIC CELL; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; FACTUAL DATABASE; HUMAN; INDEPENDENT COMPONENT ANALYSIS; INTERMETHOD COMPARISON; KERNEL METHOD; LATTICE INDEPENDENT COMPONENT ANALYSIS; LEARNING ALGORITHM; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; PROCESS OPTIMIZATION; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS;

EID: 82455164245     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.02.024     Document Type: Article

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